Moreover, in the presence of Ficoll70 at neutral pH, secondary nucleation appears favored, resulting in faster overall α-synuclein amyloid formation. In contrast, sucrose, a small-molecule osmolyte and building block of Ficoll70, slowed down α-synuclein amyloid formation. The ability of cell environments to modulate reaction kinetics to a large extent, such as severalfold faster individual steps in α-synuclein amyloid formation, is an important consideration for biochemical reactions in living systems.Quantitative cell biology requires precise and accurate concentration measurements, resolved both in space and time. Fluorescence correlation spectroscopy (FCS) has been held as a promising technique to perform such measurements because the fluorescence fluctuations it relies on are directly dependent on the absolute number of fluorophores in the detection volume. However, the most interesting applications are in cells, where autofluorescence and confinement result in strong background noise and important levels of photobleaching. Both noise and photobleaching introduce systematic bias in FCS concentration measurements and need to be corrected for. Here, we propose to make use of the photobleaching inevitably occurring in confined environments to perform series of FCS measurements at different fluorophore concentration, which we show allows a precise in situ measurement of both background noise and molecular brightness. Such a measurement can then be used as a calibration to transform confocal intensity images into concentration maps. The power of this approach is first illustrated with in vitro measurements using different dye solutions, then its applicability for in vivo measurements is demonstrated in Drosophila embryos for a model nuclear protein and for two morphogens, Bicoid and Capicua.Amyloid-β (Aβ) oligomers are toxic species implicated in Alzheimer's disease (AD). The prevailing hypothesis implicates a major role of membrane-associated amyloid oligomers in AD pathology. Our silica nanobowls (NB) coated with lipid-polymer have submicromolar affinity for Aβ binding. We demonstrate that NB scavenges distinct fractions of Aβs in a time-resolved manner from amyloid precursor protein-null neuronal cells after incubation with Aβ. At short incubation times in cell culture, NB-Aβ seeds have aggregation kinetics resembling that of extracellular fraction of Aβ, whereas at longer incubation times, NB-Aβ seeds scavenge membrane-associated Aβ. Aβ aggregates can be eluted from NB surfaces by mechanical agitation and appear to retain their aggregation driving domains as seen in seeding aggregation experiments. These results demonstrate that the NB system can be used for time-resolved separation of toxic Aβ species from biological samples for characterization and in diagnostics. Scavenging membrane-associated amyloids using lipid-functionalized NB without chemical manipulation has wide applications in the diagnosis and therapy of AD and other neurodegenerative diseases, cancer, and cardiovascular conditions.TAK1-binding protein 2 (TAB2) has generally been considered to bind specifically to K63-linked polyubiquitin chains via its C-terminal Npl4 zinc-finger (NZF) domain. However, a recent study showed that the NZF domain of TAB2 (TAB2-NZF) could also interact with K6-linked polyubiquitin chains. Here, we report the crystal structure of TAB2-NZF in complex with K6-linked diubiquitin (K6-Ub2) at 1.99-Å resolution. TAB2-NZF simultaneously interacts with the distal and proximal ubiquitin moieties of K6-Ub2. By comparing the structures of TAB2-NZF in complex with K6-Ub2 and with K63-linked diubiquitin (K63-Ub2), we reveal that the binding mechanism of TAB2-NZF with K6-Ub2 is similar to that with K63-Ub2, except for the flexible C-terminal region of the distal ubiquitin. Therefore, we conclude that the C-terminal flexibility of the distal ubiquitin contributes to the dual specificity of TAB2-NZF toward K6- and K63-linked ubiquitin chains. This study provides important insights into the functions of K6-linked ubiquitin chains, which are currently unclear.The flexible conformations of a multidomain protein are responsible for its biological functions. Although MurD, a 47-kDa protein that consists of three domains, sequentially changes its domain conformation from an open form to a closed form through a semiclosed form in its enzymatic reaction, the domain dynamics in each conformation remains unclear. In this study, we verify the conformational dynamics of MurD in the corresponding three states (apo and ATP- and inhibitor-bound states) with a combination of small-angle x-ray and neutron scattering (SAXS and SANS), dynamic light scattering (DLS), neutron backscattering (NBS), neutron spin echo (NSE) spectroscopy, and molecular dynamics (MD) simulations. Applying principal component analysis of the MD trajectories, twisting and open-closed domain modes are identified as the major collective coordinates. The deviations of the experimental SAXS profiles from the theoretical calculations based on the known crystal structures become smaller in the ATP-bound state than in the apo state, and a further decrease is evident upon inhibitor binding. These results suggest that domain motions of the protein are suppressed step by step of each ligand binding. The DLS and NBS data yield collective and self-translational diffusion constants, respectively, and we used them to extract collective domain motions in nanometer and nanosecond scales from the NSE data. In the apo state, MurD shows both twisting and open-closed domain modes, whereas an ATP binding suppresses twisting domain motions, and a further reduction of open-closed mode is seen in the inhibitor-binding state. https://www.selleckchem.com/ These observations are consistent with the structure modifications measured by the small-angle scattering as well as the MD simulations. Such changes in the domain dynamics associated with the sequential enzymatic reactions should be related to the affinity and reaction efficiency with a ligand that binds specifically to each reaction state.The inner ear is one of the most complex structures in the mammalian body. Embedded within it are the hearing and balance sensory organs that contain arrays of hair cells that serve as sensors of sound and acceleration. Within the sensory organs, these hair cells are prototypically arranged in regular mosaic patterns. The development of such complex, yet precise, patterns require the coordination of differentiation, growth, and morphogenesis, both at the tissue and cellular scales. In recent years, there is accumulating evidence that mechanical forces at the tissue, the cellular, and the subcellular scales coordinate the development and organization of this remarkable organ. Here, we review recent works that reveal how such mechanical forces shape the inner ear, control its size, and establish regular cellular patterns. The insights learned from studying how mechanical forces drive the inner ear development are relevant for many other developmental systems in which precise cellular patterns are essential for their function.